Responsibilities :

- Collaborate with product, engineering, and research teams to integrate GenAI capabilities into applications and services.
- Research, evaluate, and implement the latest advancements in generative AI and large language models (LLMs).
- Maintain and iterate on prompt engineering strategies to optimize model outputs.
- Participate in prompt tuning, RLHF, and benchmarking experiments for performance and accuracy.
- Work with vector databases (e.g., FAISS, PGVector, Pinecone) for retrieval-augmented generation (RAG) and semantic search use cases.
- Design scalable, observable, and resilient generative AI pipelines for real-world applications.
- Monitor model performance and continuously improve efficiency, accuracy, and user experience.

Qualifications :





- Robust experience in deep learning and NLP, especially LLMs and generative models.
- Proficiency in Python and ML libraries such as Hugging Face Transformers, LangChain, and OpenAI APIs.
- Experience with prompt engineering, few-shot learning, and fine-tuning LLMs.
- Familiarity with ML Ops/LLMOps and distributed systems.
- Experience working with vector databases and RAG pipelines.
- Solid understanding of system design patterns, scalability, observability, and performance tuning.
- Strong analytical and problem-solving skills.
- Passion for exploring and building with emerging AI technologies.

📌 AI Engineer (GenAI) (Secunderabad)
🏢 Anblicks Solutions
📍 Secunderabad